library(tidyverse)
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library(plotly)
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##     layout
library(flexdashboard)
library(p8105.datasets)
data("instacart")
view("instacart") 

bar plots: Top Aisles by Number of Items Ordered (n>10000)

instacart |> 
  group_by(aisle) |>
  summarize(items = n()) |>
  filter(items > 10000) |>
  plot_ly(x = ~aisle, y = ~items, color = ~aisle, type = "bar")
## Warning in RColorBrewer::brewer.pal(max(N, 3L), "Set2"): n too large, allowed maximum for palette Set2 is 8
## Returning the palette you asked for with that many colors
## Warning in RColorBrewer::brewer.pal(max(N, 3L), "Set2"): n too large, allowed maximum for palette Set2 is 8
## Returning the palette you asked for with that many colors

box plot: Distribution of Add-to-Cart Order by Department

instacart |>
  plot_ly(
  x = ~department, y = ~add_to_cart_order, type = "box",color = ~department)
## Warning in RColorBrewer::brewer.pal(max(N, 3L), "Set2"): n too large, allowed maximum for palette Set2 is 8
## Returning the palette you asked for with that many colors
## Warning in RColorBrewer::brewer.pal(max(N, 3L), "Set2"): n too large, allowed maximum for palette Set2 is 8
## Returning the palette you asked for with that many colors

scatterplots: Instacart Orders by Hour of Day

instacart |>
  count(order_hour_of_day, name = "orders") |> 
  plot_ly(
  x = ~order_hour_of_day,
  y = ~orders,
  type = "scatter",
  mode = "markers", alpha = 0.5
)